Our blog

How a conversation design platform should be

16 of May

We consider how the design of a state-of-the-art conversational design platform should be to allow for wider
adoption of this technology.

Some challenges to be addressed are maximum usability, high flexibility in configuration, easy and secure
deployment and scalability, without forgetting fast feedback from production into retraining to achieve better
user experience as the conversations evolve.

Assigning pieces of literary text to authors

4 of March

We explore the possibility of identifying the author of a book just looking at three or more sentences.
And all this just considering the syntactical constructions without even examining the actual words.

Touching base with StanfordNLP

8 of February

We play with StanfordNLP, a Python package that solves several common tasks in Natural Language Processing in 53 human languages.
We demonstrate the usage of the package in finding out parts-of-speech and lexical features in sentences and paragraphs.